Bridging Dynamics Gaps via Diffusion Schr\"odinger Bridge for Cross-Domain Reinforcement Learning

Researchers propose BDGxRL, a novel framework using Diffusion Schrödinger Bridge to enable reinforcement learning agents to transfer policies across different domains without direct target environment access. The method aligns source domain transitions with target dynamics through offline demonstrations and introduces reward modulation for consistent learning.